Satellite images provide a wonderful record of the last fifty years of global change. We have pioneered new methods to map wildlife habitat and proxies for biodiversity and habitat, as well as agricultural abandonment and other types of land use change for large areas. We analyze MODIS/VIIRS data across the globe, Landsat and Sentinel-2 across continents, and high-resolution CORONA spy satellite imagery across countries.
How do individual bird species select their habitats? Is there a consistent pattern, and how does it vary among species with different functional traits, guilds, and taxonomic groupings?
Ashley Olah is using novel remotely-sensed measures of spatial and temporal variability in temperature and forest phenology, forest phenoclusters, and forest structure to model bird species distributions in Argentina.
Natalia Rogova uses a combination of various satellite data to identify key habitats along Arctic waterfowl migration flyways to help rare species conservation.
Climate change is warming the circumboreal region at twice the rate of the global average. This is predicted to increase the severity and abundance of wildfire, the region’s primary disturbance agent.
We developed an approach to cluster forests based on vegetation phenology and climate characteristics (forest phenoclusters) at scales relevant to management and conservation of forest landscapes across Argentina.
Eduarda Silveira identified hotspots of biodiversity conservation concern across Argentina in order to prioritize management actions to reduce the threat and minimize biodiversity loss.
